What Moving from Engineering to Talent Management Taught Me About Transformation
Transformation happens where technology, business and people intersect.
What a move from network engineering to talent management in 2022 taught me about change.
The insight in ten cards
I left network engineering for talent management. It turned out to be systems work — with a different kind of system.
Technical systems
- Predictable inputs
- Measurable outputs
- Fix the fault
Human systems
- Changing motivations
- Lagging indicators
- Build the capability
of workers’ core skills are expected to change by 2030, and 63% of employers see skills gaps as a major barrier to transformation.
59 in 100 workers are expected to need upskilling or reskilling by 2030.
Source: World Economic Forum, Future of Jobs Report (2025) (opens in a new tab)What I carried from engineering was a habit: find the bottleneck, measure it, then redesign around it.
Transformation is rarely blocked by technology. It is blocked by the capability, confidence and incentives around it.
What engineering taught me about people
- 01Diagnose first
Find the real constraint before prescribing.
- 02Plan for capacity
Build skills ahead of demand.
- 03Instrument it
746 competencies made skills measurable.
- 04Iterate
Release, learn, improve.
of vacancies in highly AI-exposed occupations demanded at least one management skill, and 67% at least one business-process skill.
Source: OECD, Artificial Intelligence and the Changing Demand for Skills in the Labour Market (2024) (opens in a new tab)What would change if you planned skills the way engineers plan network capacity?
Not four careers. One evolving perspective.
The most transferable skill isn’t technical. It is understanding how systems — and people — change.
